| A unified machine learning approach to time series forecasting applied to demand at emergency departments | Jul 13, 2020 | BIG-bench Machine LearningTime Series | —Unverified | 0 | 0 |
| Analyzing high-dimensional time-series data using kernel transfer operator eigenfunctions | May 16, 2018 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Sketching Multidimensional Time Series for Fast Discord Mining | Nov 5, 2023 | Anomaly DetectionTime Series | —Unverified | 0 | 0 |
| A detection analysis for temporal memory patterns at different time-scales | Sep 21, 2023 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Interpreting intermediate convolutional layers in unsupervised acoustic word classification | Oct 5, 2021 | Classificationregression | —Unverified | 0 | 0 |
| Skill-Based Differences in Spatio-Temporal Team Behavior in Defence of The Ancients 2 | Mar 24, 2016 | ClusteringDota 2 | —Unverified | 0 | 0 |
| Interpreting Differentiable Latent States for Healthcare Time-series Data | Nov 29, 2023 | Predicting Patient OutcomesTime Series | —Unverified | 0 | 0 |
| Deep Classification of Epileptic Signals | Jan 11, 2018 | ClassificationEEG | —Unverified | 0 | 0 |
| Interpreting 16S metagenomic data without clustering to achieve sub-OTU resolution | Jan 29, 2015 | ClusteringTAG | —Unverified | 0 | 0 |
| SleepNet: Automated Sleep Analysis via Dense Convolutional Neural Network Using Physiological Time Series | Mar 11, 2019 | Multi-Task LearningTime Series | —Unverified | 0 | 0 |
| Interpretable Vector AutoRegressions with Exogenous Time Series | Nov 9, 2017 | ManagementMarketing | —Unverified | 0 | 0 |
| SleepPPG-Net2: Deep learning generalization for sleep staging from photoplethysmography | Apr 10, 2024 | Deep LearningManagement | —Unverified | 0 | 0 |
| SleepPPG-Net: a deep learning algorithm for robust sleep staging from continuous photoplethysmography | Feb 11, 2022 | ManagementPhotoplethysmography (PPG) | —Unverified | 0 | 0 |
| SleepPriorCL: Contrastive Representation Learning with Prior Knowledge-based Positive Mining and Adaptive Temperature for Sleep Staging | Oct 15, 2021 | Representation LearningSelf-Supervised Learning | —Unverified | 0 | 0 |
| DeepClair: Utilizing Market Forecasts for Effective Portfolio Selection | Jul 18, 2024 | Deep Reinforcement LearningTime Series | —Unverified | 0 | 0 |
| Interpretable Transformation and Analysis of Timelines through Learning via Surprisability | Mar 6, 2025 | Time Series | —Unverified | 0 | 0 |
| Learning Disentangled Representations for Time Series | May 17, 2021 | DisentanglementRepresentation Learning | —Unverified | 0 | 0 |
| SLOTH: Structured Learning and Task-based Optimization for Time Series Forecasting on Hierarchies | Feb 11, 2023 | Decision MakingMultivariate Time Series Forecasting | —Unverified | 0 | 0 |
| Slow-varying Dynamics Assisted Temporal Capsule Network for Machinery Remaining Useful Life Estimation | Mar 30, 2022 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Deep CHORES: Estimating Hallmark Measures of Physical Activity Using Deep Learning | Jul 26, 2020 | Deep LearningTime Series | —Unverified | 0 | 0 |
| A unified framework of epidemic spreading prediction by empirical mode decomposition based ensemble learning techniques | Jan 3, 2019 | Ensemble LearningPrediction | —Unverified | 0 | 0 |
| Interpretable time series neural representation for classification purposes | Oct 25, 2023 | ClassificationRepresentation Learning | —Unverified | 0 | 0 |
| Deep Cellular Recurrent Network for Efficient Analysis of Time-Series Data with Spatial Information | Jan 12, 2021 | EEGElectroencephalogram (EEG) | —Unverified | 0 | 0 |
| Smart Home Energy Management: VAE-GAN synthetic dataset generator and Q-learning | May 14, 2023 | energy managementGenerative Adversarial Network | —Unverified | 0 | 0 |
| Smart Journey in Istanbul: A Mobile Application in Smart Cities for Traffic Estimation by Harnessing Time Series | Dec 13, 2022 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Smart Metro: Deep Learning Approaches to Forecasting the MRT Line 3 Ridership | Apr 14, 2023 | Time SeriesTime Series Prediction | —Unverified | 0 | 0 |
| Interpretable Time Series Clustering Using Local Explanations | Aug 1, 2022 | ClassificationClustering | —Unverified | 0 | 0 |
| Deep Canonical Time Warping | Jun 1, 2016 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Interpretable System Identification and Long-term Prediction on Time-Series Data | Mar 2, 2023 | PredictionTime Series | —Unverified | 0 | 0 |
| Smoothing Nonlinear Variational Objectives with Sequential Monte Carlo | Mar 27, 2019 | Dimensionality Reductionparameter estimation | —Unverified | 0 | 0 |
| Interpretable Super-Resolution via a Learned Time-Series Representation | Jun 13, 2020 | Super-ResolutionTime Series | —Unverified | 0 | 0 |
| Snippet Policy Network for Multi-class Varied-length ECG Early Classification | Jul 28, 2021 | Arrhythmia DetectionClassification | —Unverified | 0 | 0 |
| Deep Canonically Correlated LSTMs | Jan 16, 2018 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| A Unified Framework for Long Range and Cold Start Forecasting of Seasonal Profiles in Time Series | Oct 23, 2017 | Recommendation SystemsTime Series | —Unverified | 0 | 0 |
| A Unified Energy Management Framework for Multi-Timescale Forecasting in Smart Grids | Nov 22, 2024 | energy managementLoad Forecasting | —Unverified | 0 | 0 |
| A dependent partition-valued process for multitask clustering and time evolving network modelling | Mar 13, 2013 | ClusteringGaussian Processes | —Unverified | 0 | 0 |
| Interpretable Spectral Variational AutoEncoder (ISVAE) for time series clustering | Oct 18, 2023 | ClusteringDecoder | —Unverified | 0 | 0 |
| Deep Bayesian Nonparametric Tracking | Jul 1, 2018 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Interpretable Nonlinear Dynamic Modeling of Neural Trajectories | Oct 27, 2016 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Interpretable Neural Networks for Panel Data Analysis in Economics | Oct 11, 2020 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Deep Baseline Network for Time Series Modeling and Anomaly Detection | Sep 10, 2022 | Anomaly DetectionTime Series | —Unverified | 0 | 0 |
| A Unified Approach to Extract Interpretable Rules from Tree Ensembles via Integer Programming | Jun 30, 2024 | regressionTime Series | —Unverified | 0 | 0 |
| Deep Auto-Set: A Deep Auto-Encoder-Set Network for Activity Recognition Using Wearables | Nov 20, 2018 | Activity RecognitionMulti-class Classification | —Unverified | 0 | 0 |
| Dynamic Predictions of Postoperative Complications from Explainable, Uncertainty-Aware, and Multi-Task Deep Neural Networks | Apr 27, 2020 | Decision MakingDeep Learning | —Unverified | 0 | 0 |
| SOI: Scaling Down Computational Complexity by Estimating Partial States of the Model | Oct 4, 2024 | Time Series | —Unverified | 0 | 0 |
| Solar energy production: Short-term forecasting and risk management | Feb 19, 2016 | ManagementTime Series | —Unverified | 0 | 0 |
| SolarGAN: Synthetic Annual Solar Irradiance Time Series on Urban Building Facades via Deep Generative Networks | Jun 1, 2022 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Solar Multimodal Transformer: Intraday Solar Irradiance Predictor using Public Cameras and Time Series | Feb 28, 2025 | BenchmarkingSolar Irradiance Forecasting | —Unverified | 0 | 0 |
| Solar Power Time Series Forecasting Utilising Wavelet Coefficients | Oct 1, 2022 | Predictionregression | —Unverified | 0 | 0 |
| Interpretable Models for Understanding Immersive Simulations | Sep 24, 2019 | Model SelectionTime Series | —Unverified | 0 | 0 |